Assertion error

[anirudha16101]

Hi, Can somebody please help me out here why this error is coming?

Using native 16bit precision. GPU available: True, used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs /home/ubuntu/.local/lib/python3.6/site-packages/pytorch_lightning/trainer/configuration_validator.py:101: UserWarning: you defined a validation_step but have no val_dataloader. Skipping val loop rank_zero_warn(f"you defined a {step_name} but have no {loader_name}. Skipping {stage} loop") Path FeatureStore LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] Traceback (most recent call last): File "train_finetune.py", line 33, in main(args) File "train_finetune.py", line 23, in main trainer.fit(model, dm) File "/home/ubuntu/.local/lib/python3.6/site-packages/pytorch_lightning/trainer/trainer.py", line 552, in fit self._run(model) File "/home/ubuntu/.local/lib/python3.6/site-packages/pytorch_lightning/trainer/trainer.py", line 873, in _run self.accelerator.setup(self, model) # note: this sets up self.lightning_module File "/home/ubuntu/.local/lib/python3.6/site-packages/pytorch_lightning/accelerators/gpu.py", line 42, in setup return super().setup(trainer, model) File "/home/ubuntu/.local/lib/python3.6/site-packages/pytorch_lightning/accelerators/accelerator.py", line 88, in setup self.setup_optimizers(trainer) File "/home/ubuntu/.local/lib/python3.6/site-packages/pytorch_lightning/accelerators/accelerator.py", line 331, in setup_optimizers trainer=trainer, model=self.lightning_module File "/home/ubuntu/.local/lib/python3.6/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 223, in init_optimizers return trainer.init_optimizers(model) File "/home/ubuntu/.local/lib/python3.6/site-packages/pytorch_lightning/trainer/optimizers.py", line 34, in init_optimizers optim_conf = model.configure_optimizers() File "/home/ubuntu/clip/train-CLIP/models/wrapper.py", line 343, in configure_optimizers warmup_steps=2000 File "/home/ubuntu/.local/lib/python3.6/site-packages/cosine_annealing_warmup/scheduler.py", line 27, in init assert warmup_steps < first_cycle_steps AssertionError

[anirudha16101]

I am tr.ying to train the model for custom data which contains the data in format: folder/img1.png folder/img1.txt

python3 train.py --folder FeatureStore --batch_size 512 --gpus 1

[ymzhu19eee]

I hard code the warmup steps = 100 and first cycle steps = 500 (usually set value showing in the user guide), then it was fixed.

[rongtongxueya]

I actually want to know what information is in this.txt file, is it category information? caption or QA?